Short Biography

Dr. Eugene Santos, Jr. (born 1968) received his Ph.D. ('92) in Computer Science from Brown University. He is currently Professor of Engineering at the Thayer School of Engineering and Adjunct Professor of Computer Science at Dartmouth College. Dr. Santos’ work on artificial intelligence intersects the areas of information, cognition, human factors, and mathematics. His current focus is on computational intent, dynamic human behavior, and decision-making with an emphasis on learning nonlinear and emergent behaviors and explainable AI. Dr. Santos has applied his work with the goal of better understanding how we, both as individuals and our society, can best leverage knowledge through AI to improve our world for social good. These application areas include computational social systems – group to individual decision-making, opinion and belief change, socio-cultural attitudes and factors, and social resilience; user and team modeling – inferring user intentions and needs, surgical errors and team intention gaps, and effective use of text and data analytics; and, cybersecurity – insider threat and deception detection, misinformation vs. disinformation, and adversarial intent and course of action analysis. He was appointed to the State of Vermont Taskforce on AI, serves on the Board of Directors for Sigma Xi as the Northeast Region Director, and is a 2019 Public Voices fellow of the OpEd Project. Dr. Santos was Editor-in-Chief for the IEEE Transactions on Cybernetics (formerly IEEE Transactions on Systems, Man, and Cybernetics: Part B) from 2008-2013. He is a Fellow of the AAAS and IEEE.



Academic Positions (Primary)

Selected Recent Publications on Computational Intentions by Topic

Explainable AI & Inverse Reinforcement Learning

Behavior-Centric Modeling and Security

Deception detection and insider threat

Social systems, attitudes, and cultural modeling

Decision Analytics

Computational opinions

Emergence, non-linear decision-making, and decision fusion

Knowledge-driven learning and knowledge representation

Intelligence Analyses and Decision Support

User modeling and intent inferencing

Text, multimedia, and data analytics

High-performance information retrieval and management

Teams, organizations, and complex systems

Team decision-making and intent – Patient care

Complex adaptive systems

Selected and additional papers can be found for download on the main Distributed Information and Intelligence Analysis Group website:

Other Affiliations